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Results 1 - 4 of 4 for 512g (0.39 sec)

  1. src/hash/crc32/crc32_table_ppc64le.s

    DATA ·IEEEConst+3976(SB)/8,$0x0000000064efe7c0
    
    	/* x^6208 mod p(x), x^6144 mod p(x) */
    DATA ·IEEEConst+3984(SB)/8,$0x00000000ac81ef72
    DATA ·IEEEConst+3992(SB)/8,$0x000000000ac2d904
    
    	/* x^5184 mod p(x), x^5120 mod p(x) */
    DATA ·IEEEConst+4000(SB)/8,$0x0000000133212464
    DATA ·IEEEConst+4008(SB)/8,$0x00000000fd226d14
    
    	/* x^4160 mod p(x), x^4096 mod p(x) */
    DATA ·IEEEConst+4016(SB)/8,$0x00000000e4e45610
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Feb 19 20:44:20 UTC 2024
    - 113.3K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

    f32>>>, %arg19: tensor<!tf_type.resource<tensor<?xf32>>>, %arg20: tensor<!tf_type.resource<tensor<?xf32>>>, %arg21: tensor<!tf_type.resource<tensor<?xf32>>>, %arg22: tensor<!tf_type.resource<tensor<?xf32>>>, %arg23: tensor<!tf_type.resource<tensor<512x?xf32>>>, %arg24: tensor<!tf_type.resource<tensor<?x?xf32>>>, %arg25: tensor<!tf_type.resource<tensor<?xf32>>>, %arg26: tensor<!tf_type.resource<tensor<?x?xf32>>>, %arg27: tensor<f32> {tf._class = ["loc:@md/rnnt_step_decoder/rnnt_decoder/joint/w_b_y/var"]},...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
    - Viewed (0)
  3. staging/src/k8s.io/apiextensions-apiserver/pkg/apiserver/schema/cel/validation_test.go

    			message:               "message not messageExpression",
    			messageExpression:     fmt.Sprintf(`"%s"`, genString(5121, 'a')),
    			costBudget:            celconfig.RuntimeCELCostBudget,
    			expectedLogErr:        "messageExpression beyond allowable length of 5120",
    			expectedValidationErr: "message not messageExpression",
    		},
    		{
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Tue Jun 04 17:14:10 UTC 2024
    - 159.9K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py

          enable_per_channel_quantization: bool,
      ):
        input_shape = (1, 512)
    
        self._create_matmul_model(
            input_shape=input_shape,
            weight_shape=(512, 2),
            saved_model_path=self._input_saved_model_path,
        )
    
        tags = {tag_constants.SERVING}
        quantization_options = quant_opts_pb2.QuantizationOptions(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 03:36:50 UTC 2024
    - 235.6K bytes
    - Viewed (0)
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